Pith Number
pith:IU65SXRA
pith:2017:IU65SXRAJFPJWO33Z74DEO4LFA
not attested
not anchored
not stored
refs pending
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process
arxiv:1703.00645 v1 · 2017-03-02 · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IU65SXRAJFPJWO33Z74DEO4LFA}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T00:03:00.438165Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
453dd95e20495e9b3b7bcff8323b8b28266068bf617ea236ea7adddc019f6d22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IU65SXRAJFPJWO33Z74DEO4LFA \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 453dd95e20495e9b3b7bcff8323b8b28266068bf617ea236ea7adddc019f6d22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d3dee4ba067335580b45e90c4d107b965eccfc91fbb07373131059aa94e3f86",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-03-02T07:26:37Z",
"title_canon_sha256": "f6f10bdadef046809ff72e2c385d8be00c3eba7244ecd733e70c0a27aec6eec1"
},
"schema_version": "1.0",
"source": {
"id": "1703.00645",
"kind": "arxiv",
"version": 1
}
}